As AI companies scramble to build ever more capable models, data labeling has gotten its moment in the spotlight. Ex. the Meta-Scale AI deal, which saw Meta take a 49% stake in Scale and hire its CEO, injected new energy and scrutiny. With foundational models shifting from static, pre-trained systems to continually evolving, reinforcement-tuned AI agents, the role of high-quality, domain-specific data is more important than ever.
Labelbox wants to lead this shift, even as advances in synthetic training models raise existential questions about the future of human-in-the-loop data labeling.
